CN102625337B - System and method for autonomous energy-saving management of wireless access network - Google Patents

System and method for autonomous energy-saving management of wireless access network Download PDF

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CN102625337B
CN102625337B CN201210060207.9A CN201210060207A CN102625337B CN 102625337 B CN102625337 B CN 102625337B CN 201210060207 A CN201210060207 A CN 201210060207A CN 102625337 B CN102625337 B CN 102625337B
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base station
tch
execution step
energy
network
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CN102625337A (en
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李文璟
邱雪松
喻鹏
王颖
芮兰兰
高志鹏
孟洛明
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Beijing University of Posts and Telecommunications
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Beijing University of Posts and Telecommunications
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a system and a method for autonomous energy-saving management of a wireless access network, relating to the field of wireless communication. The method comprises the steps of: A, monitoring and collecting network information; B judging whether a current network state meets a trigger condition for autonomous energy-saving management, if so, executing C, or else, executing F; C, selecting base stations to be closed and a compensation base station; D, determining a power adjustment value of the compensation base station; E, adjusting the power of the compensation base station, closing corresponding base stations, performing switching by a control user, and executing A; F, judging whether the current network state meets a recovery condition for the autonomous energy-saving management, if so, executing G, or else, executing A; and G, starting the closed base stations, recovering the power values of all the base stations to a normal states, executing switching by the control user and executing A. According to the system and the method disclosed by the invention, the wireless access network is autonomously switched between a normal state and an energy-saving state in real time according to a network load condition, and the coverage quality is guaranteed effectively.

Description

The autonomous energy-saving management system of a kind of wireless access network and method
Technical field
The present invention relates to wireless communication technology field, particularly the autonomous energy-saving management system of a kind of wireless access network and method.
Background technology
Along with greenhouse gas effect more and more receives publicity, efficiency becomes one of the current major issue that will consider of industrial quarters.The energy consumption that current I CT (Information Communication Technology, ICT (information and communication technology)) industry consumes has accounted for 5% of global energy consumption, and growth trend is more obvious within the ensuing time.Meanwhile, along with the development of wireless access network, the business that network provides is more and more diversified, and radio access node is as also more and more intensive in the deployment of base station (BS, NodeB, eNodeB), access point AP etc.These numerous radio access nodes have expended the energy of whole cordless communication network 80%-90%.At present, all Radio Access Networks all load to design according to peak traffic, and the load of some access nodes is 0 or very low when low traffic load, thereby cause the waste of resource, and have increased O&M cost.Therefore, study the energy-conservation to reducing greenhouse effect of wireless access network, the O&M cost that reduces operator has very large meaning.
Administration of energy conservation can be at the traffic load of some base stations the thresholding lower than appointment, and lasting duration is greater than the regular hour during section, by signaling, close these base stations, and carry out effective compensating movement: will avoid on the one hand the appearance of coverage hole, on the other hand, also to guarantee that traffic load can be received by other base station.In order to realize energy-saving compensated, need to revise network and engineering parameter, to take manually in main administrative mechanism be unpractical existing for this, utilize autonomous administration of energy conservation can solve well the problem that these are controlled: in the situation that prosthetic is intervened, system can detect the traffic load variation tendency in region automatically, and under certain trigger condition, carry out energy-conservation action and recover action meeting, realize energy-conservation.
Publication number is the patent of invention of CN102170685A, discloses a kind of power-economizing method of wireless communication system, the not overlapped scene of coverage in disposing for wireless communication system between base station.Consider that wireless communication system is not constantly in running at full capacity state, a lot of time of carrier wave of base station is all in idle condition, in energy-conservation process according to a certain carrier wave of the dynamic On/Off of the variation of load of base station, save the energy consumption of base station on carrier wave, thereby reach the object of low-carbon energy-saving.
Publication number is the patent of invention of CN102149101A, discloses a kind of administration of energy conservation method and system, relates to radio communication, and it has solved the problem that there is no base station energy-saving administrative mechanism.The method comprises: NMS (network management system) sends administration of energy conservation order to EMS (Element management system), in described administration of energy conservation order, carry energy-saving information, EMS is according to described administration of energy conservation order in indication, and energy-saving is managed.
Publication number is the patent of invention of CN102196460A, discloses in a kind of wireless communication system for reducing the apparatus and method of energy consumption, and this invention provides a kind of apparatus and method of controlling energy saver mode for the place, base station at wireless communication system.For controlling the method for energy saver mode, comprise the following steps: the traffic load of predicting next time; Utilize the traffic load of predicting to determine whether to enter energy saver mode; When determining while entering energy saver mode, determine the reliability of the traffic load of predicting; And work as predicted traffic load when reliable, operate in energy saver mode.
The common defects of above-mentioned prior art is, do not consider that wireless network enters the covering quality problem after energy saver mode, also do not provide the covering compensation method of carrying out after energy-conservation action, cannot guarantee the service quality to user.
Summary of the invention
(1) technical problem that will solve
The technical problem to be solved in the present invention is: how the autonomous energy-saving management system of a kind of wireless access network and method are provided, so that according to the autonomous handover network state of network load situation, and at network during in power save mode, and effective ensuring coverage quality.
(2) technical scheme
For solving the problems of the technologies described above, the invention provides the autonomous energy-saving management system of a kind of wireless access network, it comprises: information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module;
Described information monitoring module, connects described information analysis module, for monitoring and collection network information;
Described information analysis module, connect described energy-conservation decision-making module, for judging according to the described network information whether the trigger condition of autonomous administration of energy conservation or recovery condition are set up, and the in the situation that of trigger condition or the establishment of recovery condition, correspondingly to described energy-conservation decision-making module, send trigger request or recovery request;
Described energy-conservation decision-making module connects described policy enforcement module, for after receiving described trigger request or recovery request, according to the described network information, correspondingly generates trigger policy or recovery policy;
Described policy enforcement module, for according to described trigger policy or recovery policy, correspondingly controls the base station of network and closes or open, and base station power adjustment and user's switching.
Preferably, described system also comprises: information storage module; Described information storage module connects described information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module, for storing the described network information, trigger policy, recovery policy, for corresponding functional module, calls.
The present invention also provides a kind of wireless access network autonomous administration of energy conservation method, and it comprises step:
A: monitoring collection network information;
B: according to the described network information, judge whether current network state meets the trigger condition of autonomous administration of energy conservation, if so, execution step C; Otherwise, execution step F;
C: according to the described network information, adopt Dual base stations backoff algorithm to choose base station to be closed and compensation base station;
D: adopt autonomous coverage optimization algorithm to determine the power adjustment of described compensation base station;
E: adjust the power of described compensation base station according to described power adjustment, close corresponding base station according to the result of choosing of described Dual base stations backoff algorithm, the user who controls in network according to switching judging standard carries out switching, execution step A;
F: according to the described network information, judge whether current network state meets the recovery condition of autonomous administration of energy conservation, if so, execution step G; Otherwise, execution step A;
G: the base station of closing is opened, the performance number of all base stations is returned to normal condition, the user who controls in network according to switching judging standard carries out switching, execution step A.
Preferably, in described step B, the trigger condition of autonomous administration of energy conservation is: the traffic load T of the network under normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t s.
Preferably, described step C specifically comprises step:
C1: judge in network whether have not yet processed base station, if existed, choose a not yet processed base station as when pre-treatment base station, will work as pre-treatment base station and put into processed collection of base stations; Otherwise, execution step D;
C2: determine the symmetry element set when pre-treatment base station;
C3: whether the symmetry element set that pre-treatment base station is worked as in judgement is empty, empty if, execution step C1; Otherwise, execution step C4;
C4: whether judgement exists available symmetry element in the symmetry element set of pre-treatment base station, if existed, execution step C5; Otherwise, execution step C1; In described available symmetry element, do not comprise base station to be closed;
C5: choose a best symmetry element from described available symmetry element, and all base stations in the symmetry element of described the best are labeled as to compensation base station, will work as pre-treatment base station and be labeled as base station to be closed, execution step C1.
Preferably, described step C2 specifically comprises step:
C21: selected distance is as the nearest m in pre-treatment base station 0individual base station, m 0for positive even numbers;
C22: choose described m 0in individual base station, any a pair of base station of layout symmetry forms the symmetry element when pre-treatment base station;
C23: all symmetry elements of choosing when pre-treatment base station form the symmetry element set when pre-treatment base station.
Preferably, described m 0value be 6.
Preferably, the symmetry element of described the best is to comprise the maximum available symmetry element of number that compensates base station, and comprises in the same number of situation that compensates base station at a plurality of available symmetry elements, and the traffic load of the base station in the symmetry element of described the best is minimum.
Preferably, described step D specifically comprises step:
D1: from P tin selected P tCHinitial value, given initial temperature T 0with final temperature T f, make iteration index k=0, T k=T 0; Wherein, P tCH=[P 1 tCH, P 2 tCH..., P n tCH], represent the service channel power P of different compensation base stations i tCHstate value vector, 1≤i≤N, N represents to compensate in network the number of base station; P trepresent P tCHvalue set;
D2: loop iteration frequency n in setting 0, cycle counter m=0 in order;
D3: generate at random a neighborhood solution P ' tCH∈ N 0(P tCH) ∈ P t, make m from increase 1 and calculate desired value increment Delta z=z (P ' tCH)-z (P tCH), judge whether Δ z is less than 0, if so, execution step D6; Otherwise, execution step D4;
Wherein, N 0(P tCH) expression P tCHfield; Z represents total optimization aim and service channel power P i tCHbetween mapping, described total optimization aim comprises energy saving optimizing target and coverage optimization target;
D4: generate at random ξ=U (0,1), and judge exp (Δ z/T k) whether be greater than ξ, if be greater than, execution step D6; Otherwise, execution step D5;
D5: judge whether m is greater than n 0, if so, execution step D7; Otherwise, execution step D3;
D6: make P tCH=P ' tCH;
D7: reduce T k, make k from increasing 1;
D8: judgement T kwhether be less than T fif be less than, according to P tCHcurrency determine each compensation base station power adjustment; Otherwise, carry out described step D2.
Preferably, in described step F, the recovery condition of autonomous administration of energy conservation is: the traffic load T of the network under power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t c.
(3) beneficial effect
The autonomous energy-saving management system of wireless access network of the present invention and method, by adopting Dual base stations backoff algorithm and autonomous coverage optimization algorithm, wireless access network is independently switched according to network load situation in real time between normal condition and power save mode, and at network during in power save mode, effective ensuring coverage quality when reducing network power consumption, reduce and disturb.
Accompanying drawing explanation
Fig. 1 is the autonomous energy-saving management system structural representation of the wireless access network of the embodiment of the present invention;
Fig. 2 is the autonomous administration of energy conservation method flow diagram of wireless access network described in the embodiment of the present invention;
Fig. 3 is the Dual base stations compensation schematic diagram for three cell base stations;
Fig. 4 is a kind of pervasive Dual base stations compensation schematic diagram;
Fig. 5 is simulating scenes schematic diagram;
Fig. 6 is that the region under power save mode covers schematic diagram.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used for illustrating the present invention, but are not used for limiting the scope of the invention.
Fig. 1 is the autonomous energy-saving management system structural representation of the wireless access network of the embodiment of the present invention.As shown in Figure 1, described system comprises: information monitoring module 100, information analysis module 200, energy-conservation decision-making module 300, policy enforcement module 400 and information storage module 500.
Described information monitoring module 100, connects described information analysis module 200 and information storage module 500, for monitoring and collection network information, and the described network information is stored to described information storage module 500.
Described information analysis module 200, connect described energy-conservation decision-making module 300 and information storage module 500, for judging according to the described network information whether the trigger condition of autonomous administration of energy conservation or recovery condition are set up, and the in the situation that of trigger condition or the establishment of recovery condition, correspondingly to described energy-conservation decision-making module 300, send trigger request or recovery request.
Described energy-conservation decision-making module 300 connects described policy enforcement module 400 and information storage module 500, for after receiving described trigger request or recovery request, according to the described network information, correspondingly generate trigger policy or recovery policy, and described trigger policy or recovery policy are stored to described information storage module 500.
Described policy enforcement module 400, for according to described trigger policy or recovery policy, correspondingly controls the base station of network and closes or open, and base station power adjustment and user's switching.
Described information storage module 500, provides center as data, the relevant informations such as the described network information of dynamically storing, trigger policy, recovery policy, and information is standardized to input and output to guarantee the efficiently and accurately operation of each functions of modules.
Fig. 2 is the autonomous administration of energy conservation method flow diagram of wireless access network described in the embodiment of the present invention.As shown in Figure 2, described method comprises step:
A: described information monitoring module 100 monitoring collection network information, and the described network information is stored to described information storage module 500.The network information here comprises: area business amount and energy consumption, and mobile subscriber's received signal strength, Ec/Io (pilots signals available intensity/all signal strength signal intensities) or C/I (carrier/interface ratio), and user's COS etc.
B: described information analysis module 200 is extracted the described network information from described information storage module 500, then according to the described network information, judge whether current network state meets the trigger condition of autonomous administration of energy conservation, if, described information analysis module 200 sends trigger request, execution step C to described energy-conservation decision-making module 300; Otherwise, execution step F.The trigger condition of described autonomous administration of energy conservation is: the traffic load T of the network under normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t s.The thresholding δ of described energy-conservation triggering can be 1/3 of network peak traffic, described the first buffer time t sit can be 10 minutes.Here be mainly according to the area business amount in the described network information, whether to meet the judgement of the trigger condition of autonomous administration of energy conservation.
C: described energy-conservation decision-making module 300 receives described trigger request, then according to the load of each base station comprising in described area business amount and user distribution situation, adopt Dual base stations backoff algorithm to choose base station to be closed and compensation base station, then will choose result store to described information storage module 500.From part, the coverage of single base station can be compensated by the adjacent base station of a pair of symmetry.Fig. 3 is the Dual base stations compensation schematic diagram for three cell base stations, and as shown in Figure 3, base station is to (BS 2, BS 3) be base station BS 1symmetry element, this symmetry element can be carried out base station BS 1compensation.And the symmetry element of all these base stations forms the symmetry element set of this base station.
Described step C specifically comprises step:
C1: judge in network whether have not yet processed base station, if existed, choose a not yet processed base station as when pre-treatment base station, will work as pre-treatment base station and put into processed collection of base stations; Otherwise, execution step D;
C2: determine the symmetry element set when pre-treatment base station.
The layout of the network base station of reality is all even not simple as shown in Figure 3, but more complicated.Fig. 4 is a kind of pervasive Dual base stations compensation schematic diagram, in conjunction with Fig. 4, described step C2 concrete steps is described as follows:
C21: selected distance is as the nearest m in pre-treatment base station 0individual base station, m 0for positive even numbers.In the present embodiment, m 0value be 6; When pre-treatment base station is BS 0; Selected distance base station BS 0nearest base station is BS 1～BS 6.
C22: choose described m 0in individual base station, any a pair of base station of layout symmetry forms the symmetry element when pre-treatment base station.
C23: all symmetry elements of choosing when pre-treatment base station form the symmetry element set when pre-treatment base station.As shown in Figure 4, when pre-treatment base station BS 0symmetry element set comprise symmetry element: (BS 1, BS 4), (BS 2, BS 5) and (BS 3, BS 6).
C3: whether the symmetry element set that pre-treatment base station is worked as in judgement is empty, empty if, execution step C1; Otherwise, execution step C4.
C4: whether judgement exists available symmetry element in the symmetry element set of pre-treatment base station, if existed, execution step C5; Otherwise, execution step C1.In described available symmetry element, do not comprise base station to be closed.
C5: choose a best symmetry element from described available symmetry element, and all base stations in the symmetry element of described the best are labeled as to compensation base station, will work as pre-treatment base station and be labeled as base station to be closed, execution step C1.The symmetry element of described the best is to comprise the maximum available symmetry element of number that compensates base station, and comprises in the same number of situation that compensates base station at a plurality of available symmetry elements, and the traffic load of the base station in the symmetry element of described the best is minimum.Still as shown in Figure 4, from working as pre-treatment base station BS 0symmetry element set in a final selected best symmetry element be: (BS 2, BS 5).
D: described energy-conservation decision-making module 300, take and maximize energy-conservation to be target, in the situation that meeting covering quality requirement, to adopt autonomous coverage optimization algorithm to determine the power adjustment of described compensation base station, and power adjustment is stored to described information storage module 500.
Suppose that the compensation number of base stations in network is N, number of users is M, and the power of compensation base station i is P i bS(unit is W), 1≤i≤N.Difference is compensated to the service channel power P of base station i tCHas optimization object, its state value vector P tCH=[P 1 tCH, P 2 tCH..., P n tCH].P in existing network i tCHsupport the output of 25dBm～32dBm, and adjustment step-length is 1dBm.
For same business, the base station power P of compensation base station i i bSwith service channel power P i tCHmapping relationship f one by one had clear and definite result.From energy-conservation angle, minimize area power value, energy saving optimizing target is as follows:
min G ( P TCH ) = Σ i N P BS i = Σ i N f ( P TCH i ) - - - ( 1 )
By path loss model, can obtain compensation base station covering radius r iwith service channel power P i tCHmapping g.Angle from covering, guarantee the covering in whole region, need to minimize coverage gap rate, and coverage optimization target is:
min H ( P TCH ) = S - Σ j = 1 N π g 2 ( P TCH j ) + Σ l = 1 N Σ q = 1 N O lq S × 100 % - - - ( 2 )
O wherein lqrepresent compensation base station l and the overlapping area that compensates base station q.
In conjunction with energy saving optimizing target (1) and coverage optimization target (2), total optimization aim that can obtain is finally expressed as follows:
min z＝αG(P TCH)+ωH(P TCH) (3)
In (3), α and ω represent respectively the weight of energy saving optimizing target and coverage optimization target.If P trepresent P tCHvalue set, P tit is the state space of a Discrete Finite.
Described step D specifically comprises step:
D1: from P tin selected P tCHinitial value, given initial temperature T 0with final temperature T f, make iteration index k=0, T k=T 0.
D2: loop iteration frequency n in setting 0, cycle counter m=0 in order;
D3: generate at random a neighborhood solution P ' tCH∈ N 0(P tCH) ∈ P t, make m from increase 1 and calculate desired value increment Delta z=z (P ' tCH)-z (P tCH), judge whether Δ z is less than 0, if so, execution step D6; Otherwise, execution step D4;
Wherein, N 0(P tCH) expression P tCHfield.
D4: generate at random ξ=U (0,1), and judge exp (Δ z/T k) whether be greater than ξ, if be greater than, execution step D6; Otherwise, execution step D5;
D5: judge whether m is greater than n 0, if so, execution step D7; Otherwise, execution step D3;
D6: make P tCH=P ' tCH;
D7: reduce T k, make k from increasing 1;
D8: judgement T kwhether be less than T fif be less than, according to P tCHcurrency determine each compensation base station power adjustment; Otherwise, carry out described step D2.
E: first described policy enforcement module 400 is stored to the network data under normal condition described information storage module 500, then according to described power adjustment, adjust the power of described compensation base station, according to the result of choosing of described Dual base stations backoff algorithm, close corresponding base station, the user who controls in network according to switching judging standard carries out switching, execution step A.
F: described information analysis module 200 judges according to the described network information whether current network state meets the recovery condition of autonomous administration of energy conservation, if so, execution step G; Otherwise, execution step A.The recovery condition of described autonomous administration of energy conservation is: the traffic load T of the network under power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t c.The thresholding σ of described energy-conservation reply can be 1/3 of network peak traffic, described the second buffer time t cit can be 10 minutes.
G: described policy enforcement module 400 is opened the base station of closing, according to the network data under the normal condition in described information storage module 500, the performance number of all base stations is returned to normal condition, the user who controls in network according to switching judging standard carries out switching, execution step A.
In order to verify the result of use of the method for the invention, the present embodiment carries out following emulation experiment.Fig. 5 is simulating scenes schematic diagram, as shown in Figure 5, has provided website and user's distribution situation: * represents site location in figure ,+expression customer location.Scene is WCDMA urban settings, and simulating area is 9km * 9km, is divided into and is furnished with n=36 the base station that function is consistent.Base station distance is at 1.3km between 1.5km, and there are 3 communities each base station, is trifolium-shaped honeycomb, and it is circular that the coverage of base station is approximately.The peak user number in region is M=3600, is the speech business of 12.2kbps.The horizontal half-power beam width of antenna in cell is 65 °, and vertical half-power beam width is 10 °, 8 ° of Downtilt, antenna gain 17dBi, antenna efficiency 0.8.User's maximum transmission power is 23dBm, and antenna is omnidirectional antenna, antenna gain 0dBi, antenna efficiency 0.8.User is highly 1.5m, and path loss model is COST32-HATA city model, and user antenna modifying factor is 0, user's acceptable signal-to-interference ratio is 7dB, switching sluggish redundancy is 8dB, and shadow fading model is that average is 6dB lognormal model, and rapid fading model is this model of Lay.Energy-conservation triggering and recovery thresholding are 1/3 of peak traffic, and lag time is 10 minutes.
Because coverage rate is to guarantee that user normally accepts the most important index of service, therefore, when weight is set, coverage rate weight will be higher than the weight of performance number.α=0.1 is set, and ω=100 are to meet the normalization of desired value.For simulated annealing, in order to obtain effective disaggregation, T is set 0=10000, T f=10, n 0=5, cooling function is T k+1=T k-Δ T, Δ T=10.
According to coverage optimization method, be ensuring coverage quality, at H (P tCH) choose minimized performance number as optimized results in the value space of < 2%.The optimized results of finally obtaining is H (P tCH)=1.9318%, G (P tCH)=28256W.The energy-conservation time can be calculated on one-period is 10.15 hours, and energy-saving efficiency is 16.72%; Covering overlapping rate is 19.12%.Fig. 6 is that the region under power save mode covers schematic diagram.
The autonomous energy-saving management system of wireless access network and method described in the embodiment of the present invention, by adopting Dual base stations backoff algorithm and autonomous coverage optimization algorithm, wireless access network is independently switched according to network load situation in real time between normal condition and power save mode, and at network during in power save mode, effective ensuring coverage quality when reducing network power consumption, reduce and disturb.
Above execution mode is only for illustrating the present invention; and be not limitation of the present invention; the those of ordinary skill in relevant technologies field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (5)

1. the autonomous energy-saving management system of wireless access network, is characterized in that, comprising: information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module;
Described information monitoring module, connects described information analysis module, for monitoring and collection network information;
Described information analysis module, connect described energy-conservation decision-making module, for judging according to the described network information whether the trigger condition of autonomous administration of energy conservation or recovery condition are set up, and the in the situation that of trigger condition or the establishment of recovery condition, correspondingly to described energy-conservation decision-making module, send trigger request or recovery request, wherein, the trigger condition of described autonomous administration of energy conservation is: the traffic load T of the network under normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t s; The recovery condition of described autonomous administration of energy conservation is: the traffic load T of the network under power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t c;
Described energy-conservation decision-making module connects described policy enforcement module, for after receiving described trigger request or recovery request, according to the described network information, correspondingly generate trigger policy or recovery policy, described trigger policy is for adopting Dual base stations backoff algorithm choose base station to be closed and compensation base station and adopt autonomous coverage optimization algorithm to determine the power adjustment of described compensation base station;
Described Dual base stations backoff algorithm specifically comprises:
C1: judge in network whether have not yet processed base station, if existed, choose a not yet processed base station as when pre-treatment base station, will work as pre-treatment base station and put into processed collection of base stations; Otherwise, execution step D;
C2: determine the symmetry element set when pre-treatment base station;
C3: whether the symmetry element set that pre-treatment base station is worked as in judgement is empty, empty if, execution step C1; Otherwise, execution step C4;
C4: whether judgement exists available symmetry element in the symmetry element set of pre-treatment base station, if existed, execution step C5; Otherwise, execution step C1; In described available symmetry element, do not comprise base station to be closed;
C5: choose a best symmetry element from described available symmetry element, and all base stations in the symmetry element of described the best are labeled as to compensation base station, will work as pre-treatment base station and be labeled as base station to be closed, execution step C1;
Wherein, described step C2 specifically comprises step:
C21: selected distance is as the nearest m in pre-treatment base station 0individual base station, m 0for positive even numbers;
C22: choose described m 0in individual base station, any a pair of base station of layout symmetry forms the symmetry element when pre-treatment base station;
C23: all symmetry elements of choosing when pre-treatment base station form the symmetry element set when pre-treatment base station;
Wherein, described m 0value be 6;
Wherein, the symmetry element of described the best is to comprise the maximum available symmetry element of number that compensates base station, and comprises in the same number of situation that compensates base station at a plurality of available symmetry elements, and the traffic load of the base station in the symmetry element of described the best is minimum;
Described autonomous coverage optimization algorithm specifically comprises:
D1: from P tin selected P tCHinitial value, given initial temperature T 0with final temperature T f, make iteration index k=0, T k=T 0; Wherein, P tCH=[P 1 tCH, P 2 tCH..., P n tCH], represent the service channel power P of different compensation base stations i tCHstate value vector, 1≤i≤N, N represents to compensate in network the number of base station; P trepresent P tCHvalue set;
D2: loop iteration frequency n in setting 0, cycle counter m=0 in order;
D3: generate at random a neighborhood solution P' tCH∈ N 0(P tCH) ∈ P t, make m from increasing 1 and calculate desired value increment Delta z=z (P' tCH)-z (P tCH), judge whether Δ z is less than 0, if so, execution step D6; Otherwise, execution step D4;
Wherein, N 0(P tCH) expression P tCHfield; Z represents total optimization aim and service channel power P i tCHbetween mapping, described total optimization aim comprises energy saving optimizing target and coverage optimization target;
D4: generate at random ξ=U (0,1), and judge exp (Δ z/T k) whether be greater than ξ, if be greater than, execution step D6; Otherwise, execution step D5;
D5: judge whether m is greater than n 0, if so, execution step D7; Otherwise, execution step D3;
D6: make P tCH=P' tCH;
D7: reduce T k, make k from increasing 1;
D8: judgement T kwhether be less than T fif be less than, according to P tCHcurrency determine each compensation base station power adjustment; Otherwise, carry out described step D2;
Described policy enforcement module, for according to described trigger policy or recovery policy, correspondingly controls the base station of network and closes or open, and base station power adjustment and user's switching.
2. the system as claimed in claim 1, is characterized in that, described system also comprises: information storage module; Described information storage module connects described information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module, for storing the described network information, trigger policy, recovery policy, for corresponding functional module, calls.
3. the autonomous administration of energy conservation method of wireless access network, is characterized in that, comprises step:
A: monitoring collection network information;
B: according to the described network information, judge whether current network state meets the trigger condition of autonomous administration of energy conservation, if so, execution step C; Otherwise, execution step F;
C: according to the described network information, adopt Dual base stations backoff algorithm to choose base station to be closed and compensation base station;
D: adopt autonomous coverage optimization algorithm to determine the power adjustment of described compensation base station;
E: adjust the power of described compensation base station according to described power adjustment, close corresponding base station according to the result of choosing of described Dual base stations backoff algorithm, the user who controls in network according to switching judging standard carries out switching, execution step A;
F: according to the described network information, judge whether current network state meets the recovery condition of autonomous administration of energy conservation, if so, execution step G; Otherwise, execution step A;
G: the base station of closing is opened, the performance number of all base stations is returned to normal condition, the user who controls in network according to switching judging standard carries out switching, execution step A;
Wherein, described step C specifically comprises step:
C1: judge in network whether have not yet processed base station, if existed, choose a not yet processed base station as when pre-treatment base station, will work as pre-treatment base station and put into processed collection of base stations; Otherwise, execution step D;
C2: determine the symmetry element set when pre-treatment base station;
C3: whether the symmetry element set that pre-treatment base station is worked as in judgement is empty, empty if, execution step C1; Otherwise, execution step C4;
C4: whether judgement exists available symmetry element in the symmetry element set of pre-treatment base station, if existed, execution step C5; Otherwise, execution step C1; In described available symmetry element, do not comprise base station to be closed;
C5: choose a best symmetry element from described available symmetry element, and all base stations in the symmetry element of described the best are labeled as to compensation base station, will work as pre-treatment base station and be labeled as base station to be closed, execution step C1;
Wherein, described step C2 specifically comprises step:
C21: selected distance is as the nearest m in pre-treatment base station 0individual base station, m 0for positive even numbers;
C22: choose described m 0in individual base station, any a pair of base station of layout symmetry forms the symmetry element when pre-treatment base station;
C23: all symmetry elements of choosing when pre-treatment base station form the symmetry element set when pre-treatment base station;
Wherein, described m 0value be 6;
Wherein, the symmetry element of described the best is to comprise the maximum available symmetry element of number that compensates base station, and comprises in the same number of situation that compensates base station at a plurality of available symmetry elements, and the traffic load of the base station in the symmetry element of described the best is minimum;
Wherein, described step D specifically comprises step:
D1: from P tin selected P tCHinitial value, given initial temperature T 0with final temperature T f, make iteration index k=0, T k=T 0; Wherein, P tCH=[P 1 tCH, P 2 tCH..., P n tCH], represent the service channel power P of different compensation base stations i tCHstate value vector, 1≤i≤N, N represents to compensate in network the number of base station; P trepresent P tCHvalue set;
D2: loop iteration frequency n in setting 0, cycle counter m=0 in order;
D3: generate at random a neighborhood solution P' tCH∈ N 0(P tCH) ∈ P t, make m from increasing 1 and calculate desired value increment Delta z=z (P' tCH)-z (P tCH), judge whether Δ z is less than 0, if so, execution step D6; Otherwise, execution step D4;
Wherein, N 0(P tCH) expression P tCHfield; Z represents total optimization aim and service channel power P i tCHbetween mapping, described total optimization aim comprises energy saving optimizing target and coverage optimization target;
D4: generate at random ξ=U (0,1), and judge exp (Δ z/T k) whether be greater than ξ, if be greater than, execution step D6; Otherwise, execution step D5;
D5: judge whether m is greater than n 0, if so, execution step D7; Otherwise, execution step D3;
D6: make P tCH=P' tCH;
D7: reduce T k, make k from increasing 1;
D8: judgement T kwhether be less than T fif be less than, according to P tCHcurrency determine each compensation base station power adjustment; Otherwise, carry out described step D2.
4. the autonomous administration of energy conservation method of wireless access network as claimed in claim 3, it is characterized in that, in described step B, the trigger condition of autonomous administration of energy conservation is: the traffic load T of the network under normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t s.
5. the autonomous administration of energy conservation method of wireless access network as claimed in claim 3, it is characterized in that, in described step F, the recovery condition of autonomous administration of energy conservation is: the traffic load T of the network under power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t c.
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